Tom Marty
Scholar

Tom Marty

Google Scholar ID: -YXor_wAAAAJ
Mila : Montreal Institute of Learning Algorithms
Generative ModellingOOD robustnessMeta-learningDeep Learning
Citations & Impact
All-time
Citations
210
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Paper 'In-Context Learning and Occam's razor' accepted at ICML 2025 (April 2025).
  • Paper 'WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?' accepted at ICML 2024 (May 2024).
  • First-author paper 'The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study' accepted at NeurIPS 2023 FMDM Workshop (November 2023).
  • First-author paper 'Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver' accepted at CP2023 (an A-grade conference) and awarded Distinguished Paper Award (July–August 2023).
  • Journal paper 'Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver' accepted by Constraint Journal (November 2024).
  • Awarded FRQNT doctoral scholarship for four years (March 2025).
  • Received Mitacs Accelerate scholarship (2 units, $30K CAD) in March 2023 for visiting researcher work at ServiceNow.
Background
  • Ph.D. student in Deep Learning at Mila under the supervision of Dhanya Sridhar.
  • Originally from Réunion Island.
  • Current research interests lie at the intersection of probabilistic modeling and learning theory, focusing on the role of simplicity and compression in designing robust learning algorithms.
  • Specific topics include in-distribution and out-of-distribution generalization, amortized learning, meta-learning, generative modeling, and flow-matching—particularly for applications in cancer immunotherapy.
  • Previously specialized in Reinforcement Learning and Combinatorial Optimization.